Facial Expression Recognition On Raf Db

Metriken

Overall Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	Overall Accuracy	Paper Title	Repository
DDAMFN++	92.34	A Dual-Direction Attention Mixed Feature Network for Facial Expression Recognition
GReFEL	92.47	GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution	-
ViT-tiny	87.03	Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers	-
DAN	89.70	Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition
FMAE	93.09	Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
FaceBehaviorNet	-	Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study	-
ViT-base + MAE	91.07	Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers	-
MT-ArcVGG	-	Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace	-
FerNeXt	88.56	FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel Attention
S2D	92.57	From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos
C-EXPR-NET	-	Multi-Label Compound Expression Recognition: C-EXPR Database & Network	-
DACL (ResNet-18)	87.78	Facial Expression Recognition in the Wild via Deep Attentive Center Loss
BTN	92.54	Batch Transformer: Look for Attention in Batch	-
EfficientFace	88.36	Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
RAN (ResNet-18)	86.9	Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition
RUL (ResNet-18)	88.98	Relative Uncertainty Learning for Facial Expression Recognition
POSTER++	92.21	POSTER++: A simpler and stronger facial expression recognition network
C MT VGGFACE	-	Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond	-
APViT	91.98	Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition
MA-Net	88.36	Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild

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